Efficient Orthogonal Matching Pursuit using sparse random projections for scene and video classification.
Shiv Naga Prasad VitaladevuniPradeep NatarajanRohit PrasadPrem NatarajanPublished in: ICCV (2011)
Keyphrases
- random projections
- compressed sensing
- orthogonal matching pursuit
- compressive sensing
- video classification
- sparse representation
- image reconstruction
- dimensionality reduction
- random sampling
- dimension reduction
- hash functions
- sparse coding
- high dimensionality
- low dimensional
- machine learning
- natural images
- video sequences
- face recognition
- image sequences
- kernel function
- unsupervised learning
- input image
- high dimensional
- feature space
- high quality
- video shots
- feature selection
- computer vision
- data sets